Time-Variant Spatial Filtering for Motor Imagery Classification

Abstract

Effective spatial filtering plays a key role in motor imagery classification. This paper presents a novel approach to spatial filtering of EEG signal by modelling time-variant spatial patterns. This is in contrast to conventional common spatial pattern which assumes static spatial patterns in a motor imagery trial. We define the model such that it accounts… (More)